scholarly journals The Analysis of Risk Factors to Hypotension Occurring after Caesarean Spinal Anesthesia for Parturients with Scarred Uterus

2020 ◽  
Author(s):  
Wei Chen ◽  
Ya Cao ◽  
Quan Yong Chen ◽  
Yan Lu ◽  
Bing Wang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Weight Gain ◽  
Spinal Anesthesia ◽  
Statistical Significance ◽  
Univariate Analysis ◽  
Multivariate Logistic Regression Model ◽  
Clinical Trial Registry ◽  
Scarred Uterus ◽  
Dermatomal Level

Abstract Background：This study examined the risk factors for hypotension after caesarean spinal anesthesia with low dose of bupivacaine and sulfentanyl in parturients with scarred uterus. Methods：A total of 322 singleton-pregnancy parturients with scarred uterus who had been scheduled for caesarean spinal anesthesia were randomly sampled. The data on the basic information of the parturients, the gestation, the fetus and the anesthesia were recorded and filed according to the clinical questionnaires on hypotension in caesarean section. The parturients whose systolic blood pressure dropped below 90 mmHg or decreased by 20% during the time from the completion of anesthesia until the delivery of infant were classified as Group hypotension (Group H) and the rest were in Group non-hypotension (Group N). This study analyzed the correlation of 39 factors to the occurrence of hypotension, and further analyzed the statistically significant factors through binary classification logistic regression.Results：Of the 322 sampled parturients, 148 parturients suffered hypotension. The incidence of hypotension in this study was 45.96%. The result of univariate analysis showed statistically significant differences in the factors including height (p=0.005), post-pregnancy Body Mass Index (BMI) (p=0.00), fasting time (p=0.031),weight gain in gestation (p=0.000), fundal height (p=0.047), exercise history in gestation (p=0.006) and dermatomal level of analgesia (p=0.000) between the two groups. The variables with statistical significance were analyzed by multivariate logistic regression model. The result showed that BMI in gestation (OR=1.146, 95% CI 1.041-1.262, p <0.05), weight gain in gestation (OR = 1.126, 95% CI 1.060-1.198, p <0.001), exercise history in gestation (OR = 0.399, 95% CI 0.205-0.778, p = 0.007), and dermatomal level of analgesia (OR = 2.248, 95% CI 1.645-3.074, p <0.001) were risk factors for hypotension after caesarean spinal anesthesia in parturients with scarred uterus. Conclusion：The incidence of hypotension after caesarean spinal anesthesia in parturients with scarred uterus was relatively high. The post-pregnancy BMI, weight gain in gestation, exercise history in gestation and dermatomal level of analgesia after anesthesia were risk factors for hypotension after caesarean spinal anesthesia in parturients with scarred uterus. These findings play an important role in predicting the occurrence of hypotension after caesarean spinal anesthesia in parturients with scarred uterus. Trial registration：Chinese Clinical Trial Registry (chiCTR-ROC-17011251)

scholarly journals The Analysis of Risk Factors to Hypotension Occurring after Caesarean Spinal Anesthesia for Parturients with Scarred Uterus

2020 ◽  
Author(s):  
Wei Chen ◽  
Ya Cao ◽  
Quan Yong Chen ◽  
Yan Lu ◽  
Bing Wang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Weight Gain ◽  
Spinal Anesthesia ◽  
Statistical Significance ◽  
Univariate Analysis ◽  
Multivariate Logistic Regression Model ◽  
Clinical Trial Registry ◽  
Scarred Uterus ◽  
Dermatomal Level

Abstract Background：This study examined the risk factors for hypotension after caesarean spinal anesthesia with low dose of bupivacaine and sulfentanyl in parturients with scarred uterus. Methods：A total of 322 singleton-pregnancy parturients with scarred uterus who had been scheduled for caesarean spinal anesthesia were randomly sampled. The data on the basic information of the parturients, the gestation, the fetus and the anesthesia were recorded and filed according to the clinical questionnaires on hypotension in caesarean section. The parturients whose systolic blood pressure dropped below 90 mmHg or decreased by 20% during the time from the completion of anesthesia until the delivery of infant were classified as Group hypotension (Group H) and the rest were in Group non-hypotension (Group N). This study analyzed the correlation of 39 factors to the occurrence of hypotension, and further analyzed the statistically significant factors through binary classification logistic regression.Results：Of the 322 sampled parturients, 148 parturients suffered hypotension. The incidence of hypotension in this study was 45.96%. The result of univariate analysis showed statistically significant differences in the factors including height (p=0.005), post-pregnancy Body Mass Index (BMI) (p=0.00), fasting time (p=0.031),weight gain in gestation (p=0.000), fundal height (p=0.047), exercise history in gestation (p=0.006) and dermatomal level of analgesia (p=0.000) between the two groups. The variables with statistical significance were analyzed by multivariate logistic regression model. The result showed that BMI in gestation (OR=1.146, 95% CI 1.041-1.262, p <0.05), weight gain in gestation (OR = 1.126, 95% CI 1.060-1.198, p <0.001), exercise history in gestation (OR = 0.399, 95% CI 0.205-0.778, p = 0.007), and dermatomal level of analgesia (OR = 2.248, 95% CI 1.645-3.074, p <0.001) were risk factors for hypotension after caesarean spinal anesthesia in parturients with scarred uterus. Conclusion：The incidence of hypotension after caesarean spinal anesthesia in parturients with scarred uterus was relatively high. The post-pregnancy BMI, weight gain in gestation, exercise history in gestation and dermatomal level of analgesia after anesthesia were risk factors for hypotension after caesarean spinal anesthesia in parturients with scarred uterus. These findings play an important role in predicting the occurrence of hypotension after caesarean spinal anesthesia in parturients with scarred uterus. Trial registration：Chinese Clinical Trial Registry (chiCTR-ROC-17011251)

scholarly journals The Analysis of Risk Factors to Hypotension Occurring after Caesarean Spinal Anesthesia for Parturients with Scarred Uterus

2020 ◽  
Author(s):  
Wei Chen ◽  
Ya Cao ◽  
quan yong chen ◽  
Yan Lu ◽  
Bing Wang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Weight Gain ◽  
Spinal Anesthesia ◽  
Statistical Significance ◽  
Univariate Analysis ◽  
Systolic Pressure ◽  
Multivariate Logistic Regression Model ◽  
Scarred Uterus ◽  
Dermatomal Level

Abstract Backgroud：This study aims to discuss the risk factors to hypotension for caesarean parturients with scarred uterus when low dose of bupivacaine and sulfentanyl are used in spinal anesthesia. Methods：A total of 322 singleton-pregnancy parturients with scarred uterus who had been scheduled for caesarean spinal anesthesia were randomly sampled. The data about the basic information of the parturients, the gestation, the fetus and the anesthesia has been recorded and filed according to the clinical questionnaires about hypotension in caesarean section. The parturients whose systolic pressure drops below 90mmHG or decreases by 20% during the time from the completion of anesthesia until the delivery of infant were classified to be Group Hypotension (Group H) and the rest are in Group non-hypotension (Group N). This study analyzes the correlation of 39 factors to the occurrence of hypotension and then further analyzes the statistically significant factors through binary classification logistic regression.Results：Of the 322 sampled parturients, 148 parturients suffered hypotension. The incidence of hypotension in this study is 45.96%. The result of univariate analysis shows that the differences in the factors including height (p=0.005), post-pregnancy Body Mass Index (BMI) (p=0.00), weight gain in gestation (p=0.000), fundal height(p=0.047), fasting time (p=0.031), exercise history in gestation (p=0.006) and dermatomal level of analgesia (p=0.000) between two groups are statistically significant. The variables with statistical significance are analyzed by multivariate logistic regression model. The result shows that BMI in gestation (OR=1.146 95%, CI 1.041-1.262, p <0.05), weight gain in gestation (OR = 1.126 95%, CI 1.060-1.198, p <0.001), exercise history in gestation (OR = 0.399, 95% CI 0.205-0.778, p = 0.007), dermatomal level of analgesia (OR = 2.248, 95% CI 1.645-3.074, p <0.001) are risk factors to hypotension occurrence after caesarean spinal anesthesia for parturients with scarred uterus. Conclusion：The incidence of hypotension occurring after caesarean spinal anesthesia for parturients with scarred uterus is relatively high. Factors including post-pregnancy BMI, weight gain in gestation, exercise history in gestation and dermatomal level of analgesia after anesthesia are risk factors to hypotension occurring after caesarean spinal anesthesia for parturients with scarred uterus. The result plays an important role in predicting the occurrence of hypotension after spinal anesthesia by parturients with scarred uterus in clinic. Trial registration：Chinese Clinical Trial Registry(chiCTR-ROC-17011251)

scholarly journals Prevalence and risk factors of depression and anxiety for inpatients with lung cancer in China: A hospital-based cross-sectional study

2022 ◽  
Author(s):  
Xueqian Wang ◽  
Xuejiao Ma ◽  
Mo Yang ◽  
Yan Wang ◽  
Yi Xie ◽  
...  
Keyword(s):  
Risk Factors ◽  
Lung Cancer ◽  
Logistic Regression ◽  
Risk Factor ◽  
Univariate Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression Model ◽  
Depression And Anxiety ◽  
Multivariate Logistic Regression ◽  
Cross Sectional

Abstract Background Lung cancer was often accompanied by depression and anxiety. Nowadays, most investigations for depression and anxiety were concentrated in western medical hospitals, while few related studies have been carried out in the tradition Chinese medicine (TCM) ward. It was necessary to understand the prevalence and risk factors of depression and anxiety in the inpatients with lung cancer in TCM hospital. Methods This study adopted cross-sectional research method, which enrolled a total of 222 inpatients with lung cancer in TCM hospital. PHQ-9 and GAD-7 scales were used to assess depression and anxiety for the inpatients, respectively. Demographic and clinical data were also collected. Statistical methods of the univariate analysis and the multivariate logistic regression model were used. Results The prevalence of depression and anxiety in the inpatients with lung cancer were 58.1% and 34.2%, respectively. Multivariate logistic regression analysis prompted that the common risk factor of depression and anxiety was the symptom of insomnia. Constipation and gender were the two anther risk factors of depression. Conclusion Depression and anxiety were common for the inpatients with lung cancer in TCM hospital. Gender, insomnia and constipation were risk factors for depression, and insomnia was risk factor for anxiety. Therefore, medical workers should pay close attention to the emotional changes of these high-risk patients and intervene the symptoms as early as possible.

scholarly journals Assessment of severity of illness on admission using SICK score and evaluation of the risk factors associated with mortality in children admitted in a paediatric urban tertiary care centre in south India

2021 ◽  
Vol 8 (4) ◽  
pp. 636
Author(s):  
N. Rajeshwari ◽  
A. Savitha ◽  
J. Prahada
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Univariate Analysis ◽  
Tertiary Care ◽  
Assisted Ventilation ◽  
Receiver Operating Curve ◽  
Multivariate Logistic Regression Model ◽  
Operating Characteristics ◽  
Multivariate Logistic Regression ◽  
Receiver Operating

Background: “Signs of inflammation that can kill” (SICK) score is one of the severities scoring systems used for predicting outcome of children at admission. The aim of the present study was to study the clinical and demographic profile of children admitted to Paediatric ward, to assess the usefulness of SICK score in predicting the mortality and evaluate the risk factors in predicting mortality.  Methods: SICK scoring was done for 369 children on admission. The outcome was recorded as death or discharge. The associated factors were analysed using SPSS software package analysis. Receiver operating curve was used to arrive at the cut-off point of SICK score for predicting mortality. Quantitative data differences between children who died and children who were discharged from the hospital were analysed using student independent t test. Need for assisted ventilation, presence of shock, age less than 3 years, and SICK score>2 were studied to find their association with mortality. Statistical analysis was done using univariate analysis and those factors that were significantly associated with mortality were subjected multivariate logistic regression analysis.Results: The performance of SICK score was “excellent” in discriminating between death and survival with area under the receiver operating characteristics curve 0.94. Age<3-year presence of shock, need for mechanical ventilation and SICK score>2 showed statistically significant association with mortality as evidenced by multivariate logistic regression model.  Conclusions: SICK score performed extremely well in predicting mortality on admission. Age<3 years, SICK score>2, Presence of Shock and need for assisted ventilation showed statistically significant association with mortality.

scholarly journals Cerebral hemodynamic abnormalities of patients with ischemic stroke who are opium addicted: A study by transcranial doppler ultrasonography

2019 ◽  
Author(s):  
Yaser Moadabi ◽  
Alia Saberi ◽  
Sajjad Hoseini ◽  
Ashkan Karimi ◽  
Shahrokh Yousefzadeh-Chabok
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Ischemic Stroke ◽  
Transcranial Doppler ◽  
Univariate Analysis ◽  
Multivariate Logistic Regression Model ◽  
Hemodynamic Parameters ◽  
Mean Flow ◽  
Cross Sectional ◽  
Cerebral Hemodynamic

Background: Ischemic stroke as the major cause of mortality and morbidity worldwide has different risk factors. One of its modifiable risk factors is opium addiction whose role is not clear yet. This study aimed at assessing the hemodynamic parameters in ischemic stroke patients addicted to opium using transcranial Doppler (TCD) ultrasonography and comparing them with non-addicted patients. Methods: This comparative cross-sectional study was conducted in an academic hospital in the north of Iran in 2016. All the patients diagnosed as ischemic stroke underwent cerebrovascular ultrasound in the first 4 days of symptoms onset. Frequency of hemodynamic abnormalities confirmed by pulsatility index (PI) and mean flow velocity (MFV) were determined and compared between the two groups. The data were analyzed by chi-square test, t-test, and multiple logistic regression models using SPSS software. Results: A total of 353 patients with ischemic stroke (92 addicted and 261 non-addicted patients) were enrolled in the study. Univariate analysis indicated that the PI and MFV differences were statistically significant between two groups of addicted and nonaddicted patients (P = 0.0001). By multivariate logistic regression model, the age [odds ratio (OR) = 1.143], diabetes mellitus (DM) (OR = 3.875), hypertension (HTN) (OR = 2.557), and opium usage (OR = 9.615) had influence on PI and only opium usage (OR = 3.246) had influence on MFV. Conclusion: Opium usage affects the cerebral hemodynamic parameters and increases the chance of having abnormal PI as ten-fold and abnormal MFV as three-fold.  

scholarly journals Serum Epidemiological Analysis and Risk Factors Associated with Leptospira spp. in Cattle in the State of Piauí

2017 ◽  
Vol 45 (1) ◽  
pp. 11
Author(s):  
Siluana Benvindo Ferreira ◽  
Katiene Régia Silva Sousa ◽  
Vanessa Castro ◽  
Sabrina Thabla Pereira Lopes ◽  
Sávio Benvindo Ferreira ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Statistical Significance ◽  
Univariate Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Control Measures ◽  
Factors Associated ◽  
Leptospira Spp

Background: Leptospirosis is a cosmopolitan zoonosis caused by pathogenic spirochetes of the genus Leptospira spp. and it is considered one of the main causes of reproductive problems in cattle. Therefore, the aim of this study was to determine the occurrence of anti-Leptospira antibodies and identify the prevalent serovars and risk factors associated with infection in cattle herds, in the microregion of Floriano, Piaui State, Brazil.Materials, Methods & Results: A total of 414 bovine sera samples were collected (390 females aged over 24 months and 24 bulls) from 22 properties (farms) in the municipalities that compose the study area. The samples were analyzed using the Microscopic Agglutination Test (MAT) to detect anti-Leptospira antibodies from 23 pathogenic serovars. An epidemiological questionnaire was applied in each farm to evaluate the risk factors, using a univariate analysis of the variables of interest, by Pearson’s Chi-square test (χ2) or Fisher’s exact test, when it was necessary. Then, each independent variable was crossed with the dependent variable and those that presented statistical significance <0.20 were selected for multivariate analysis, using logistic regression, adopting a significance level of 5%. This research identified 143 positive animals (MAT> 1: 100) in the 22 evaluated farms; all of them had at least one positive animal, resulting in a prevalence of 34.54%, with 32,8% females (136) and 1,7% males (07), and 8,93% (37) of co-agglutination. Nineteen of the 23 tested serovars were identified; among them, Icterohaemorrhagiae (42.48%), Hardjo (31.2%), Pomona (4.3%), and Castellonis (4.3%) stood out. Absence of quarantine (OR = 16.172, P = 0.024), vaccination (OR = 0.090, P = 0.037) and isolation of diseased animals (OR = 0.006, P = 0.030) were identified, by the multivariate logistic regression analysis, as risk factors for any serovar of Leptospira spp.Discussion: The results of the present study showed that leptospirosis is present in all studied municipalities, in which the prevalence may be related to the variety of factors that influence the occurrence of the disease, such as climatic and environmental conditions, transit of animal, practices of management adopted in the herd, and the lack of information about the disease. The occurrence of co-agglutination can be explained by the possibility of multiple and concomitant contaminations with several serovars. Icterohaemorrhagiae was the most prevalent serovar, which has significant importance to public health since it is considered the main serovar of leptospirosis in humans, associated with the presence of rodents. On the other hand, the serovar Hardjo is related to the chronic leptospirosis in cattle, demonstrated through reproductive problems. The serovars Castellonis and Pomona were also observed in bovine herds, suggesting a possible transmission of the microorganism between animal species, probably due to exposure to the same sources of infection. In fact, the large number of serovarieties of Leptospira spp. indicates the presence of one or more maintenance hosts, which are natural reservoirs of this infection. The risk factors confirmed in the logistic regression analysis probably occur due to failures in sanitary management. It is concluded that Leptospira spp. is disseminated in cattle in the studied region, with the presence of several serovars, which reinforces the need for intensifying the prevention and control measures, such as vaccination.

scholarly journals Logistic regression analysis on risk factors of augmented vertebra recompression after percutaneous vertebral augmentation

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Zhongcheng An ◽  
Chen Chen ◽  
Junjie Wang ◽  
Yuchen Zhu ◽  
Liqiang Dong ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Bone Cement ◽  
Vertebral Compression Fracture ◽  
Univariate Analysis ◽  
Compression Fracture ◽  
Osteoporotic Vertebral Compression Fracture ◽  
Vertebral Augmentation ◽  
Surgical Methods

Abstract Objective To explore the high-risk factors of augmented vertebra recompression after percutaneous vertebral augmentation (PVA) in the treatment of osteoporotic vertebral compression fracture (OVCF) and analyze the correlation between these factors and augmented vertebra recompression after PVA. Methods A retrospective analysis was conducted on 353 patients who received PVA for a single-segment osteoporotic vertebral compression fracture from January 2017 to December 2018 in our department according to the inclusion criteria. All cases meeting the inclusion and exclusion criteria were divided into two groups: 82 patients in the recompression group and 175 patients in the non-compression group. The following covariates were reviewed: age, gender, body mass index (BMI), injured vertebral segment, bone mineral density (BMD) during follow-up, intravertebral cleft (IVC) before operation, selection of surgical methods, unilateral or bilateral puncture, volume of bone cement injected, postoperative leakage of bone cement, distribution of bone cement, contact between the bone cement and the upper or lower endplates, and anterior height of injured vertebrae before operation, after surgery, and at the last follow-up. Univariate analysis was performed on these factors, and the statistically significant factors were substituted into the logistic regression model to analyze their correlation with the augmented vertebra recompression after PVA. Results A total of 257 patients from 353 patients were included in this study. The follow-up time was 12–24 months, with an average of 13.5 ± 0.9 months. All the operations were successfully completed, and the pain of patients was relieved obviously after PVA. Univariate analysis showed that in the early stage after PVA, the augmented vertebra recompression was correlated with BMD, surgical methods, volume of bone cement injected, preoperative IVC, contact between bone cement and the upper or lower endplates, and recovery of anterior column height. The difference was statistically significant (P < 0.05). Among them, multiple factors logistic regression elucidated that more injected cement (P < 0.001, OR = 0.558) and high BMD (P = 0.028, OR = 0.583) were negatively correlated with the augmented vertebra recompression after PVA, which meant protective factors (B < 0). Preoperative IVC (P < 0.001, OR = 3.252) and bone cement not in contact with upper or lower endplates (P = 0.006, OR = 2.504) were risk factors for the augmented vertebra recompression after PVA. The augmented vertebra recompression after PVP was significantly less than that of PKP (P = 0.007, OR = 0.337). Conclusions The augmented vertebra recompression after PVA is due to the interaction of various factors, such as surgical methods, volume of bone cement injected, osteoporosis, preoperative IVC, and whether the bone cement is in contact with the upper or lower endplates.

scholarly journals Which Factors Increase the Risk of Re-Operation after Meniscus Surgery in the Skeletally Immature?

2018 ◽  
Vol 6 (7_suppl4) ◽  
pp. 2325967118S0006
Author(s):  
Neeraj M. Patel ◽  
Surya Mundluru ◽  
Nicholas Beck ◽  
Theodore J. Ganley
Keyword(s):  
Risk Factors ◽  
Cruciate Ligament ◽  
Statistical Significance ◽  
Univariate Analysis ◽  
Multivariate Model ◽  
Skeletally Immature ◽  
Initial Surgery ◽  
Repeat Operation ◽  
Operation Rate ◽  
Meniscus Surgery

Objectives: The purpose of this study is to determine which factors heighten the risk for subsequent operations in skeletally immature patients undergoing meniscus surgery. Methods: A retrospective institutional database of 1,063 meniscus surgeries performed between 2000 and 2015 was reviewed. All procedures were performed in skeletally immature patients. Demographic and intra-operative information was recorded, as were concurrent injuries or operations and subsequent surgeries. Univariate analysis consisted of chi-square and independent-samples t-tests. Multivariate logistic regression was then performed to control for confounding factors. Results: The mean age at initial surgery was 13.4 years (standard deviation, SD, 2.2 years) and the average follow-up duration was 47 months (SD 54 months). Overall, 314 patients (29.5%) required repeat surgical intervention. 36% of all females required subsequent surgery compared to 26% of males (p<0.01). Discoid menisci underwent repeat operation more frequently than non-discoid menisci (35% vs. 27%, p=0.01). After accounting for confounders in a multivariate model, females had 2.2 times the odds of repeat surgery than males (95% CI 1.4-3.3, p<0.01) and each year of increasing age resulted in 1.3 times higher odds (95% CI 1.1 -1.4, p<0.01). The odds of subsequent surgeries were 4.2 times higher in those with flap tears (95% CI 1.8-9.7, p<0.01) and 2.9 times higher for discoid menisci (95% CI 1.4-6.0, p<0.01). Concomitant anterior cruciate ligament rupture or tibial spine fracture decreased the risk of needing additional surgeries in univariate analysis, but lost statistical significance in the multivariate model. Conclusion: Even when accounting for other factors in a multivariate model, female sex, increasing age, flap tears, and discoid meniscus were risk factors for subsequent procedures after meniscus surgery in skeletally immature patients. The re-operation rate in this population may be higher than previously reported. This study describes, for the first time, risk factors for repeat operations in skeletally immature patients undergoing meniscus surgery. These results can be used to counsel and monitor patients accordingly.

scholarly journals Language Delay Is Not Predictable from Available Risk Factors

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Philip Wilson ◽  
Fiona McQuaige ◽  
Lucy Thompson ◽  
Alex McConnachie
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Positive Predictive Value ◽  
Predictive Value ◽  
Univariate Analysis ◽  
Male Gender ◽  
Language Delay ◽  
Predictive Capacity ◽  
Factors Associated ◽  
Health Visitors

Aims. To investigate factors associated with language delay in a cohort of 30-month-old children and determine if identification of language delay requires active contact with families.Methods. Data were collected at a pilot universal 30-month health contact. Health visitors used a simple two-item language screen. Data were obtained for 315 children; language delay was found in 33. The predictive capacity of 13 variables which could realistically be known before the 30-month contact was analysed.Results. Seven variables were significantly associated with language delay in univariate analysis, but in logistic regression only five of these variables remained significant.Conclusion. The presence of one or more risk factors had a sensitivity of 89% and specificity of 45%, but a positive predictive value of only 15%. The presence of one or more of these risk factors thus can not reliably be used to identify language delayed children, nor is it possible to define an “at risk” population because male gender was the only significant demographic factor and it had an unacceptably low specificity (52.5%). It is not possible to predict which children will have language delay at 30 months. Identification of this important ESSENCE disorder requires direct clinical contact with all families.

scholarly journals Identification and Prevention of Antiepileptic Drug Noncompliance: The Collaborative Use of State-Supplied Pharmaceutical Data

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Joseph C. Hodges ◽  
Janet Treadwell ◽  
Amy D. Malphrus ◽  
Xuan G. Tran ◽  
Angelo P. Giardino
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Medication Compliance ◽  
Statistical Significance ◽  
Seizure Disorder ◽  
Secondary Diagnosis ◽  
Careful Monitoring ◽  
Multivariate Statistical ◽  
Increased Risk ◽  
Epileptic Patients

Background. Antiepileptic drugs (AEDs) noncompliance is associated with increased risk of seizures and morbidity in seizure disorder patients. Objective. To identify risk factors that correlated to higher levels of morbidity, measured by emergency room (ER) utilization by seizure disorder members taking AED. Methods. Patients with primary or secondary diagnosis of seizures, convulsions, and/or epilepsy and prescribed AEDs during an 11-month period were included in the study. Variables were analyzed using multivariate statistical analysis including logistic regression. Results. The study identified 201 members. No statistical significance (NS) between age, gender, number of tablets, type of drug, or other risk factors was associated with increased mortality. Statistical significance resulted with medication compliance review of 0–14 days, 15–60 days, and 61+ days between refills. 68% of patients with ER visit had noncompliance refill between 0 and 14 days compared to 52% of patients in non-ER group (P=0.04). Contrastingly, 15% of ER group had refills within 15–60 days compared with 33% of non-ER group (P=0.01). There was NS difference between two groups when noncompliance was greater than 60 days (P=0.66). Conclusions. The study suggests that careful monitoring of pharmaceutical refill information could be used to identify AED noncompliance in epileptic patients.

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